HelloZicky / DUET

[WWW2023] PyTorch implementation of "DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization".

Date Created 2023-09-09 (about a year ago)

Commits 4 (last one 2 months ago)

Stargazers 26 (0 this week)

Watchers 1 (0 this week)

Forks 0

License gpl-3.0

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RepositoryStats indexes 598,732 repositories, of these HelloZicky/DUET is ranked #588,096 (2nd percentile) for total stargazers, and #546,953 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #117,822/120,199.

HelloZicky/DUET is also tagged with popular topics, for these it's ranked: computer-vision (#3,113/3150), image-classification (#399/401), recommendation-system (#121/122)

Other Information

HelloZicky/DUET has Github issues enabled, there are 3 open issues and 4 closed issues.

Homepage URL: https://dl.acm.org/doi/abs/10.1145/3543507.3583451

All Topics

edge-cloud device-cloud hypernetwork computer-vision personalization domain-adaptation dynamic-parameter image-classification parameter-generation device-generalization domain-generalization recommendation-system sequential-recommendation device-cloud-collaboration facial-expression-recognition

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4 commits on the default branch (main) since jan '22

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updated: 2024-12-16 @ 12:09pm, id: 689317852 / R_kgDOKRYn3A